Evaluating early selection in perennial tropical forages

Figueiredo, Ulisses José de; Berchembrock, Yasmin Vasques; Valle, Cacilda Borges do; Barrios, S. C. L.; Quesenberry, K. H.; Muñoz, Patricio; Nunes, José Aírton Rodrigues

doi:10.1590/1984-70332019v19n3a41

Cited by 11 publications

(12 citation statements)

References 17 publications

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“…The nutritional QTLs found in our study need further investigation because only one harvest was analyzed and interactions could not be measured. In a selection study of U. decumbens and U. humidicola, Figueiredo et al (2019) identified a significant Genotype x Harvest Interaction (GHI) effect (p<0.05) for different agronomic and nutritional traits, which reflect differences in the relative performances of genotypes across harvests. GHI also has been reported as significant in M. maximus, and the average number of harvests needed for a reliable selection of nutritional traits, such as OM and CP, would be 3 and 5 at accuracy levels of 0.80 and 0.85, respectively (Fernandes et al, 2017).…”

Section: Qtls For Agronomic and Nutritional Traitsmentioning

confidence: 99%

High-Resolution Linkage Map With Allele Dosage Allows the Identification of Regions Governing Complex Traits and Apospory in Guinea Grass (Megathyrsus maximus)

et al. 2020

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Section: Qtls For Agronomic and Nutritional Traitsmentioning

confidence: 99%

High-Resolution Linkage Map With Allele Dosage Allows the Identification of Regions Governing Complex Traits and Apospory in Guinea Grass (Megathyrsus maximus)

et al. 2020

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“…Meziane & Shipley (1999) verified that alterations in the volume of mesophilic cells, in number of mesophile layers, in amount of intracellular spaces in mesophile, in thickness of veins or cell walls, leading to changes in thickness of leaves. In this way, forage adaptations become a strategy for selecting the different species where they will be inserted, seeking their greatest productive and quality potential in dry matter Figueiredo et al (2019) Regarding In general, Urochloa brizantha cv. Xaraés/MG-5 highlighted regarding morphological features among the studied forages species.…”

Section: Resultsmentioning

confidence: 99%

Característica bromatológica y morfológica de las plantas forrajeras

et al. 2021

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Bromatological and morphological characteristic of forage plants Característica bromatológica y morfológica de las plantas forrajeras ABSTRACTTo a better decision in relation to the choice of forages, it is important to know its bromatological and morphological characteristics, since this knowledge can lead to greater productivity and quality of dry mass forage. This work aimed to evaluate the morphophysiological characteristics of forage plants, specifically Urochloa brizantha cv. Xaraés/MG-5; Urochloa brizantha cv. Marandu; Panicum maximum cv. Mombaça; Urochloa brizantha cv. BRS/Piatã; Urochloa brizantha cv. Paiaguás. The experiment was carried out at the College of Agricultural and Technological Sciences, Dracena, São Paulo, Brazil, May 2015. Bromatological, physiological and morphological analyses of the leaves were performed. The cultivar Urochloa brizantha cv. Marandu excelled in mineral matter (MM%); and Xaraés for dietary fiber in acid detergent (FDA%). The cultivar Urochloa brizantha cv. Xaraés/MG-5 was distinguished in the parameter thickness of the adaxial epidermis (TAdE), mesophyll thickness (MT); diameter of leaf phloem (LDP) and diameter of leaf xylem (LDX). The cultivar Urochloa brizantha cv. Paiaguás highlighted in the parameter thickness of the abaxial epidermis (TAbE). In general, the cultivar Urochloa brizantha cv. Xaraés/MG-5 presented the best results regarding the morphological characteristics of the studied forage plants.

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“…A concern among forage breeders is the number of harvests needed to select superior genotypes by keeping a good balance between precision and resources allocated (Figueir et al., 2019). Therefore, reducing the number of harvests is crucial to accelerate alfalfa breeding cycle, as well as increasing the number of families to be evaluated in early generation cycles.…”

Section: Discussionmentioning

confidence: 99%

Genomic prediction for complex traits across multiples harvests in alfalfa (Medicago sativa L.) is enhanced by enviromics

et al. 2023

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Breeding for dry matter yield and persistence in alfalfa (Medicago sativa L.) can take several years as these traits must be evaluated under multiple harvests. Therefore, genotype-by-harvest interaction should be incorporated into genomic prediction models to explore genotypes' adaptability and stability. In this study, we investigated how enviromics could help to predict the genotypic performance under multiharvest alfalfa breeding trials by evaluating 177 families across 11 harvests under four crossvalidation scenarios. All scenarios were analyzed using six models in a Bayesian mixed model framework. Our results demonstrate that models accounting to the enviromics information led to an increase of genetic variance and a decrease in the error variance, indicating better biological explanation when the enviromic information was incorporated. Furthermore, models that accounted for enviromic data led to higher predictive ability (PA) in a reduced number of harvests used in the training data set. The best enviromic models (M2 and M3) outperformed the base model (GBLUP model-M0) for predicting adaptability and persistence across all crossvalidation scenarios. Incorporating environmental covariates also provided higher PA for persistence compared with the base model, as predictions increased from 0 to 0.16, 0.20, 0.56, and 0.46 for CV00, CV1, CV0, and CV2. The results also demonstrate that GBLUP without enviromics term has low power to predict persistence, thus the adoption of enviromics is a cheap and efficient alternative to increase accuracy and biological meaning.

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Evaluating early selection in perennial tropical forages

Cited by 11 publications

References 17 publications

High-Resolution Linkage Map With Allele Dosage Allows the Identification of Regions Governing Complex Traits and Apospory in Guinea Grass (Megathyrsus maximus)

High-Resolution Linkage Map With Allele Dosage Allows the Identification of Regions Governing Complex Traits and Apospory in Guinea Grass (Megathyrsus maximus)

Característica bromatológica y morfológica de las plantas forrajeras

Genomic prediction for complex traits across multiples harvests in alfalfa (Medicago sativa L.) is enhanced by enviromics

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